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Responsible Artificial Intelligence and Data Science: First EAI International Conference, RAIDS 2024, Danang, Vietnam, October 2224, 2024, Proceeding [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3032140544
  • ISBN-10:  3032140544
  • ISBN-13:  9783032140548
  • ISBN-13:  9783032140548
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3032140544-11-SPRI
  • SKU:  3032140544-11-SPRI
  • Pages:  248
  • Pages:  248
  • Item ID: 106902392
  • List Price: $99.99
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  • Delivery by: Oct 04 to Oct 06
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This book constitutes the refereed proceedings of the First EAI International Conference on Responsible Artificial Intelligence and Data Science, RAIDS 2024, held in Danang, Vietnam, during October 22–24, 2024.

The 16 full papers presented in this volume were carefully reviewed and selected from 39 submissions. They were organized in the following topical sections: AI for Healthcare and Medical Applications; AI for Human Services and Social Applications; Theorical Contributions for Responsible AI.

.- AI for Healthcare and Medical Applications.
.- Deep Convolutional K-Means of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings.
.-  Unsupervised classification of 3D morphologies of human legs for the implementation of adaptive leg morphotypes and Medical Compression Stockings: A survey and perspective.
.- Application of Digital Survey Tools to Screen for Child Maltreatment Among Secondary School Students in Vietnam.
.- An approach for Building Question-Answering Systems using Large Language Models on Medical domain dataset.
.-  COMPARISON OF VARIOUS MODELS FOR PREDICTING IN-HOSPITAL MORTALITY USING MIMIC-III DATABASE.
.- Transformer-Based Models for Predicting High-Risk Diabetes in Women using Tabular Data.
.- Explainable Transformer-based Approach for ECG Anomaly Detection.
.-  AI for Human Services and Social Applications.
.- Educable learning for human-AI coevolution.
.- Artificial Intelligence for Human Resource Management: A Review, Perspective, and Case Study.
.- An Ontology-based Personalized Expert Systelƒ

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